Chris Grinter

Our understanding of broad-scale biodiversity and functional trait patterns is largely based on plants, and relatively little information is available on soil arthropods. Here, we investigated the distribution of termite diversity globally and morphological traits and diversity across China. Our analyses showed increasing termite species richness with decreasing latitude at both the globally, and within-China. Additionally, we detected obvious latitudinal trends in the mean community value of termite morphological traits on average, with body size and leg length decreasing with increasing latitude. Furthermore, temperature, NDVI and water variables were the most important drivers controlling the variation in termite richness, and temperature and soil properties were key drivers of the geographic distribution of termite morphological traits. Our global termite richness map is one of the first high resolution maps for any arthropod group and especially given the functional importance of termites, our work provides a useful baseline for further ecological analysis.

Abstract The Mexican lepidopteran fauna is particularly diverse, but many moth groups remain poorly documented. The tribe Arctiini is a species-rich group that has been used as a reliable indicator of environmental change. However, little is known about the fauna of the tribe Arctiini in Mexico, and there is no exhaustive review of its diversity and distribution patterns. Our aims were: 1) to account for the species diversity and distribution patterns of the tribe Arctiini; 2) to build spatial distributions and discuss possible changes in the distribution areas of the tribe Arctiini using conservative (RCP 2.6) and liberal (RCP 8.5) future climate scenarios; and 3) to discuss the conservation implications for key taxa that due to their life history characteristics and restricted distribution, might require particular conservation actions. We compiled a total of 16,385 records and 548 species in seven subtribes. Diversity profiles revealed higher cumulative species richness and diversity for the subtribes Phaegopterina, Ctenuchina, and Euchromiina, and we identified a pattern of decreasing species diversity with elevation. In addition, we estimated that 35% and 84% of modeled species in future conservative and liberal climatic scenarios, respectively, would result in significant losses of climatic suitability and shifts in spatial distribution. The endemic species, Virbia semirosea, Poliopastea jalapensis, and Pygoctenucha azteca would likely reduce their distribution by approximately 50% in both climatic scenarios. Maintaining a network of highly threatened habitats (e.g., cloud forests, tropical rain forests) will be essential to preserve persisting species populations and to increase likely (re)colonization events.

Wildlife trade is a major driver of biodiversity loss, yet whilst the impacts of trade in some species are relatively well-known, some taxa, such as many invertebrates are often overlooked. Here we explore global patterns of trade in the arachnids, and detected 1,264 species from 66 families and 371 genera in trade. Trade in these groups exceeds millions of individuals, with 67% coming directly from the wild, and up to 99% of individuals in some genera. For popular taxa, such as tarantulas up to 50% are in trade, including 25% of species described since 2000. CITES only covers 30 (2%) of the species potentially traded. We mapped the percentage and number of species native to each country in trade. To enable sustainable trade, better data on species distributions and better conservation status assessments are needed. The disparity between trade data sources highlights the need to expand monitoring if impacts on wild populations are to be accurately gauged and the impacts of trade minimised. Trade in arachnids includes millions of individuals and over 1264 species, with over 70% of individuals coming from the wild.

1. Historical museum records provide potentially useful data for identifying drivers of change in species occupancy. However, because museum records are typically obtained via many collection methods, methodological developments are needed in order to enable robust inferences. Occupancy‐detection models, a relatively new and powerful suite of statistical methods, are a potentially promising avenue because they can account for changes in collection effort through space and time.

Climate change will cause drastic fluctuations in agricultural ecosystems, which in turn may affect global food security. We used ecological niche modeling to predict the potential distribution for four cereal aphids (i.e., Sitobion avenae, Rhopalosiphum padi, Schizaphis graminum, and Diurphis noxia…

Aim: Recent studies have found that local-scale plots measured through time exhibit marked variation in the change in species richness. However, the overall effect often reveals no net change. Most studies to date have been agnostic about the identities of the species lost/gained and about the proce…

Critical gaps in understanding how species respond to environmental change limit our capacity to address conservation risks in a timely way. Here, we examine the direct and interactive effects of key global change drivers, including climate change, land use change, and pesticide use, on persistence …

Plant pest invasions cost billions of Euros each year in Europe. Prediction of likely places of pest introduction could greatly help focus efforts on prevention and control and thus reduce societal costs of pest invasions. Here, we test whether generic data-driven risk maps of pest introduction, val…

Mollusca is the largest marine phylum, comprising about 23% of all named marine organisms, Mollusca systematics are still in flux, and an increase in human activities has affected Molluscan reproduction and development, strongly impacting diversity and classification. Therefore, it is necessary to e…

Adaptation to different climates fuels the origins and maintenance of biodiversity. Detailing how organisms optimize fitness for their local climates is therefore an essential goal in biology. Although we increasingly understand how survival-related traits evolve as organisms adapt to climatic condi…